traj
Clustering of Functional Data Based on Measures of Change
Implements a three-step procedure in the spirit of Leffondre et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) computing a number of "measures of change" capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the k-medoids or k-means algorithm to identify clusters of trajectories.
- Version2.2.1
- R versionR (≥ 2.10)
- LicenseMIT
- Needs compilation?No
- Last release02/01/2025
Documentation
Team
Laurence Boulanger
MaintainerShow author detailsGillis Delmas Tchouangue Dinkou
Show author detailsRolesContributorMarie-Pierre Sylvestre
Show author detailsRolesAuthorDan Vatnik
Show author detailsRolesContributor
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